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Journals and Conferences

An algorithm for Iterative Learning Control is developed based on an optimization principle which has been used previously to derive gradient type algorithms. The new algorithm has numerous bene ts… (More)

The area if iterative learning control (ILC) has emerged from robotics to form a new and exciting challenge for control theorists and practitioners. There is great potential for applications to… (More)

A class of recurrent neural networks is shown to possess a stable limit cycle. A gradient type algorithm is used to modify the parameters of the network so that it learns and replicates autonomously… (More)

This brief considers the iterative learning control (ILC) problem when tracking is only required at a subset of isolated time points along the trial duration. It presents a norm-optimal ILC solution… (More)

In this paper we study a particular class of -node recurrent neural networks (RNN's). In the 3-node case we use monotone dynamical systems theory to show, for a well-defined set of parameters, that,… (More)

This paper considers iterative learning control for linear systems with convex control input constraints. First, the constrained ILC problem is formulated in a novel successive projection framework.… (More)